Computational Postdoctoral Scholar - Theodoris Lab

Description The laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated postdoctoral fellow with background in deep learning or network inference to join her research program in the Gladstone Institute of Cardiovascular Disease and Gladstone Institute of Data Science and Biotechnology. Our lab is focused on leveraging cutting‑edge machine learning and experimental genomics to map the gene networks driving cardiovascular disease and develop network‑correcting therapies. The successful applicant will have the opportunity to develop novel algorithmic architecture to leverage large‑scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems. The postdoctoral fellow will have access to large‑scale experimental data and state‑of‑the‑art computational infrastructure to accomplish their research goals and will work in a highly collaborative environment with computational and experimental biologists, synergizing the strengths of both domains to advance discoveries in network inference algorithms and the mechanisms of gene regulation. The postdoctoral fellow will develop their own research questions and have opportunities for methods development and advancement of computational skills. The postdoctoral fellow will also have opportunities for career development including writing grant applications and manuscripts and presenting their work at conferences. Overall, the fellow will join a highly collaborative team united in the common goal of impacting the lives of patients with cardiovascular disease. Required Qualifications PhD in a computational field with experience in deep learning and/or network inference methods Advanced competency in Python and Bash, or equivalent Experience with PyTorch or equivalent and interfacing with GPU hardware would be beneficial Salary $64,480 – $76,980 (DOE) Benefits Competitive salary commensurate with education and experience Generous medical, dental, vision coverage, retirement plan, paid vacation, commuter benefits, and access to free shuttle transportation Gladstone is committed to improving diversity, equity, and inclusion in science, from trainees to faculty, and is an equal opportunity employer. Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non‑job related characteristic. We make all employment decisions so as to further this principle of equal employment. #J-18808-Ljbffr